✦ Luna Orbit — Data & Analytics

Data Scientist/ Senior Data Engineer - Finance Transformation

at Guardian Life Ins. Co. of America

📍 3 Locations Hybrid 💰 $99K – $162K USD / year Posted March 30, 2026
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Position Details

Salary $99K – $162K USD / year
Type Full-Time
Experience senior
Exp. Years 6-8 years
Education BS or BA required; MS or MBA preferred
Category Data & Analytics

About this role

Data Scientist/Senior Data Engineer for Finance Transformation at Guardian Life to design, build, and support actuarial and financial data applications, including data pipelines, dashboards, and ML models.

Key Responsibilities

  • Engage in business value stream Counseling; Lead data product strategy and agile delivery; Manage data source enhancements and feature development; Ensure data quality and governance across data products; Collaborate with actuaries/finance SMEs to translate requirements into designs

Technical Overview

Hybrid role leveraging PySpark, SQL, Python on Databricks/AWS to ingest, cleanse, and structure financial/actuarial data; develop ML models; utilize Tableau/Power BI for visualization; ensure data quality and governance with tools like Collibra.

Ideal Candidate

The ideal candidate is a data engineer/scientist with 6+ years in data engineering or analytics, strong Python, PySpark, SQL, and experience with Databricks and BI tools; familiar with actuarial/finance data and data lakehouse concepts.

Must-Have Skills

6-8 years in data engineering/analytics2+ years hands-on ML modeling/developmentPythonPySparkSQLDatabricksTableauPower BI or similarexperience with data lakehouse principles and data management tooling (DatabricksFivetranCollibraSQL/SparkSQL/Python)

Nice-to-Have Skills

experience building valuation/reserving/pricing models for group insuranceexperience in Agile/SAFe environmentsexpertise in pricing actuarial processes

Tools & Platforms

DatabricksTableauPower BIFivetranCollibraSQLPythonSparkSQLAWS

Required Skills

PythonPySparkSQLDatabricksTableauPower BIML modelingdata wranglingETLdata lakehouseFivetranCollibraSparkSQLAWSdata integrationdata quality checks

Hard Skills

PySparkSQLPythonDatabricksTableauPower BIFivetranCollibradata lakehousedata wranglingSparkSQLML modelingpricing models

Soft Skills

analytical mindsetattention to detailself-startercross-functional collaborationclear communication

Industry & Role

Industry Insurance
Job Function Lead data solutions and analytics delivery for FPRS/CSWM value streams, balancing stakeholder priorities and driving data product adoption.
Role Subtype Data Scientist
Tech Domains Python, SQL / PostgreSQL, Tableau, Power BI, Amazon Web Services

Keywords for Your Resume

data scientistsenior data engineerfinance transformationguardian lifedatabrickspythonpy Sparksqltableaupower biawsfivetrancollibradata lakehousedata wranglingetlmachine learningml modelingdata quality checksactuarial modelingpricing modelsdata integrationdata governancepySpark

Deal Breakers

6-8 years data engineering/analytics experience, Experience with Python, PySpark, SQL, Experience with BI tools (Tableau/Power BI), Experience with cloud platforms (Databricks/AWS)

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